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An echo state network with adaptive improved pigeon-inspired optimization for time series prediction
X Yang, L Wang, Q Chen - Applied Intelligence, 2025 - Springer
As an effective alternative model to recurrent neural network (RNN), echo state network
(ESN) has garnered more attention due to its efficiency in handling time series data. Despite …
(ESN) has garnered more attention due to its efficiency in handling time series data. Despite …
On linear model with markov signal priors
LV Truong - International Conference on Artificial …, 2022 - proceedings.mlr.press
In this paper, we estimate free energy, average mutual information, and minimum mean
square error (MMSE) of a linear model under the assumption that the source is generated by …
square error (MMSE) of a linear model under the assumption that the source is generated by …
Variable-Complexity Weighted-Tempered Gibbs Samplers for Bayesian Variable Selection
LV Truong - arxiv preprint arxiv:2304.02899, 2023 - arxiv.org
Subset weighted-Tempered Gibbs Sampler (wTGS) has been recently introduced by
Jankowiak to reduce the computation complexity per MCMC iteration in high-dimensional …
Jankowiak to reduce the computation complexity per MCMC iteration in high-dimensional …
Linear models with hidden markov sources via replica method
LV Truong - 2021 IEEE International Symposium on …, 2021 - ieeexplore.ieee.org
We estimate the minimum mean square error (MMSE) of the linear model under hidden
Markov priors. Our estimates are based on the replica method in statistical physics. We show …
Markov priors. Our estimates are based on the replica method in statistical physics. We show …